Hiring: AI Research Engineer – Agentic AI Company: Bosch USA Location: Sunnyvale, CA Job Posted Time: 2026-09-17 05:25:26 Target Skills & Keywords : AI, Computer Vision, Fine-tuning, LLM, Python, RAG, Reinforcement Learning, TestNG, User Experience About the job Experience: •125 years. The Research and Technology Center North America (RTC-NA) is dedicated to providing technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence, energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design. •3+ years experiences in industrial research. •Over 125 years. The Research and Technology Center North America (RTC-NA) is dedicated to providing technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence, energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design. Required Skills: •Design, build, and evaluate agentic AI systems that can plan, reason, act, and collaborate across tools and environments, including single- and multi-agent setups for complex, long-horizon tasks. •Develop robust agent harnesses and evaluation frameworks covering end-to-end testing, regression analysis, trace logging, replayability, and metrics for success, cost, latency, robustness, and safety. •Implement self-improving agent loops using reflection, critique, self-debugging, and iterative optimization strategies driven by agent experience, execution traces, and automated feedback. •Architect and optimize agent memory systems, including short-term and long-term memory, retrieval-augmented generation, summarization, compression, forgetting policies, and privacy-aware retention. •Enable reliable deployment of agents on constrained and edge environments, focusing on model/runtime optimization, partial or offline execution, secure tool-use, and seamless edge-cloud coordination. Qualifications: •Bachelor or master's degree in computer science or engineering •Strong software engineering skills in Python •Applied hands-on capability in LLMs and agentic systems, such as tool-using agents, planner-executor patterns, multistep reasoning pipelines, RAG systems •Solid understanding of ML fundamentals and practical model usage, including prompting, evaluation, and error analysis •Demonstrated capacity to design experiments and interpret results, including ablations, statistical thinking, clear success criteria and measurable KPIs •Strong communication and documentation skills including clear write-ups, reproducible experiments, and crisp technical presentations •Agent memory management Compensation: •$165,000 - $180,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!